-Monday 15:25-17:05
-Friday 15:25-17:05
Oct. 3(Fri) Hafizh, "Zero-shot Generalist Graph Anomaly Detection w/ Unified Neighborhood Prompts (IJCAI 2025)", https://drive.google.com/file/d/1qTJQEJLTtGeHEg765twYGrxv784SUgoY/view?usp=sharing
Oct. 6(Mon) Kikuzhi, "Inductive Representation Learning in Temporal Netoworks via Causal Anonymous Walks (ICLR 2021)", https://drive.google.com/file/d/1goD9qr0rPptOBHjfECXhanR1nt0byuMT/view?usp=sharing
Oct. 10(Fri) Hosomi, "Class Distribution-based Inference for Robust Graph Learning under Global Feature Corruption", https://drive.google.com/file/d/1VlfkrPF5gVRP1CcW585mKLCdv7M8vFN0/view?usp=sharing
Oct. 16(Thu) Ho, "Commute Graph Neural Networks (ICML 2025)", https://drive.google.com/file/d/1yjB2eFd1UB_uJIJrVxdtYSO_RZniGSmK/view?usp=sharing
Oct. 16(Thu) Kim, "Inductive Counterfactual Explanations for Graph Classification Using Reinforcement Learning", https://drive.google.com/file/d/1Rs4QEk6eJxBvbqsFoISH41fJpgIuL7RB/view?usp=sharing
Oct. 17(Fri) Kaneko, "Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System", https://drive.google.com/file/d/1qTJQEJLTtGeHEg765twYGrxv784SUgoY/view?usp=sharing
Oct. 17(Fri) Nakano, "Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis (AAAI 2023)", https://drive.google.com/file/d/1CA1odlefuUDkxb7Qa3SfQwiEtEQpmg-R/view?usp=sharing
Oct. 20(Mon) Li, "Towards Dynamic Message Passing on Graphs (NeurIPS 2024)", https://drive.google.com/file/d/1CbcS8BEVCR2Eov13FRvOF99uoSCzwpHU/view?usp=sharing
Oct. 20(Mon) Kubota, "One For All: Towards Training One Graph Model For All Classification Tasks (ICLR 2024)", https://drive.google.com/file/d/1uklk3lPJuP9YHWnTFM_cXVUmNH6yd8wx/view?usp=sharing
Oct. 24(Fri) Araki, "Review-Enhanced Hierarchical Contrastive Learning for Recommendation (AAAI 2024)", https://drive.google.com/file/d/18zn2Mkmb-C8eYsQzK4LwoDbScKsyOe_l/view?usp=sharingÂ
Oct. 24(Fri) Watanabe, "Dynamic Node Property Prediction (DNPP) in TGB", https://drive.google.com/file/d/1Mud-2CtURwE8Oe38TJx93-3xc5tDo6xr/view?usp=sharing
Oct. 27(Mon), Hafizh, "GNN Generalization with Gaussian Mixture Model Based Augmentation (ICML 2025)", https://drive.google.com/file/d/1ZzT7_ObC67GfCJDN63At5pss7yWQxXNW/view?usp=sharing
Oct. 31(Fri) Kikuchi, "Accurate & Scalable GNNs via Message Invariance (ICLR 2025)", https://drive.google.com/file/d/1kRza-Hs4NtPcUeTbKpBY52y20FuZyJRx/view?usp=sharing
Oct. 31(Fri) Zhou, "Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks (AAAI 2025)", https://drive.google.com/file/d/1amZ1Yn4WYf1TyabkNiFrlU740k74nsFD/view?usp=sharing
Nov. 10(Mon) Hosomi, "Label Distribution-based Inference for Robust Graph Learning under Global Feature Corruption", https://drive.google.com/file/d/1P9MDAXdq5nLgDSOEG-SE3yuulQ6YFkr4/view?usp=sharing
Nov. 14(Fri) Ho, "Even Sparser Graph Transformers (NeurIPS 2024)", https://drive.google.com/file/d/10ro8ZeqlzcRKfY40ELFlRsXb9u8OUZYU/view?usp=sharing
Nov. 14(Fri) Kim, "Inductive Counterfactual Explanations for Graph Classification Using Reinforcement Learning", https://drive.google.com/file/d/1B_Yh-pFy9y-MK4sJzHxp5AEgQd-YAVH4/view?usp=sharing
Nov. 17(Mon) Kaneko, "Exploring a Soccer Player Evaluation Method Using Graph Neural Networks", https://drive.google.com/file/d/1IaH-uEgwpW0fUkIbYFdAk2ucGCHa_8Mm/view?usp=sharing
Nov. 17(Mon) Nakano, "View-based Explanations for Graph Neural Networks (SIGMOD 2024)", https://drive.google.com/file/d/1cAGJFIdHmndfuCQZHeXFn49IHfJ2zKgz/view?usp=sharing